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Advancement of Artificial Intelligence in Cost Estimation for Project Management Success: A Systematic Review of Machine Learning, Deep Learning, Regression, and Hybrid Models
16 references·0 citing·49 second hop
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References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2021Artificial intelligence for decision support systems in the field of operations research: review and future scope of research323 cited
  • 2020Predicting property prices with machine learning algorithms293 cited
  • 2006Predicting Construction Cost Using Multiple Regression Techniques292 cited
  • 2018Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes272 cited
  • 2020A novel construction cost prediction model using hybrid natural and light gradient boosting226 cited
  • 2020Cost estimation and prediction in construction projects: a systematic review on machine learning techniques211 cited
  • 2020Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model194 cited
  • 2022Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction173 cited
  • 2014The History Of Project Management140 cited
  • 2020Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction: A Case Study and Comparative Analysis137 cited
  • 2019An artificial neural network approach for cost estimation of engineering services135 cited
  • 2020Human–computer interaction-based Decision Support System with Applications in Data Mining119 cited

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2010
Cost simulation in an item-based project involving construction engineering and management
115 cited
  • 2021Project management: openings for disruption from AI and advanced analytics101 cited
  • 2021Assessing effects of economic factors on construction cost estimation using deep neural networks86 cited
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